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NNbenchmark  

Datasets and Functions to Benchmark Neural Network Packages
View on CRAN: Click here


Download and install NNbenchmark package within the R console
Install from CRAN:
install.packages("NNbenchmark")

Install from Github:
library("remotes")
install_github("cran/NNbenchmark")

Install by package version:
library("remotes")
install_version("NNbenchmark", "3.2.0")



Attach the package and use:
library("NNbenchmark")
Maintained by
Patrice Kiener
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-11
Latest Update: 2021-06-05
Description:
Datasets and functions to benchmark (convergence, speed, ease of use) R packages dedicated to regression with neural networks (no classification in this version). The templates for the tested packages are available in the R, R Markdown and HTML formats at and . The submitted article to the R-Journal can be read at .
How to cite:
Patrice Kiener (2020). NNbenchmark: Datasets and Functions to Benchmark Neural Network Packages. R package version 3.2.0, https://cran.r-project.org/web/packages/NNbenchmark. Accessed 05 Aug. 2026.
Previous versions and publish date:
3.1.6 (2020-09-11 10:10), 3.1.9 (2021-03-09 10:10), 3.2.0 (2021-06-05 18:30), (2026-07-09 08:15)
Other packages that cited NNbenchmark R package
View NNbenchmark citation profile
Other R packages that NNbenchmark depends, imports, suggests or enhances
Complete documentation for NNbenchmark
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